Not Just Disturbance: Turbulence Protects Fusion Reactor Walls
Extreme-scale turbulence simulation and AI discover a formula to predict the crucial exhaust heat-load width in future tokamak fusion reactors.
Extreme-scale turbulence simulation and AI discover a formula to predict the crucial exhaust heat-load width in future tokamak fusion reactors.
Researchers use a supercomputer to understand the mysterious “isotope effect” for better fusion reactors.
Researchers address the challenge of integrating the hot core and the cooler edge of a fusion plasma.
Transport effects raise the density in the plasma core
Experiments reveal the relationship between the density of matter and extreme pressure in stellar objects, putting constraints on models of white dwarf stars
Novel Convolutional Neural Network combined with advanced microscopy offers a path to automated and reliable radiation defect analysis.
A technique that suppresses damaging instabilities also improves the exhaust of helium ‘ash’ in the DIII-D tokamak, improving conditions for fusion.
Novel Convolutional Neural Network combined with advanced microscopy offers a path to automated and reliable radiation defect analysis.
A novel paradigm for pushing energy in a particle accelerator method could dramatically shrink future accelerators.
New laser-driven experiments and numerical simulations reveal an electron acceleration mechanism relevant to young supernova shock waves.
Discovery could help control potentially damaging bursts during plasma disruptions, another step toward fusion power production.
New approach doubles the current driven by microwave heating at the DIII-D National Fusion Facility